| Radiomics: the bridge between medical imaging and personalized medicine P Lambin, RTH Leijenaar, TM Deist, J Peerlings, EEC De Jong, ... Nature reviews Clinical oncology 14 (12), 749-762, 2017 | 944 | 2017 |
| Clinical evaluation of atlas and deep learning based automatic contouring for lung cancer T Lustberg, J van Soest, M Gooding, D Peressutti, P Aljabar, ... Radiotherapy and Oncology 126 (2), 312-317, 2018 | 122 | 2018 |
| Distributed learning: developing a predictive model based on data from multiple hospitals without data leaving the hospital–a real life proof of concept A Jochems, TM Deist, J Van Soest, M Eble, P Bulens, P Coucke, W Dries, ... Radiotherapy and Oncology 121 (3), 459-467, 2016 | 96 | 2016 |
| Machine learning algorithms for outcome prediction in (chemo) radiotherapy: An empirical comparison of classifiers TM Deist, FJWM Dankers, G Valdes, R Wijsman, IC Hsu, C Oberije, ... Medical physics 45 (7), 3449-3459, 2018 | 90 | 2018 |
| Decision support systems for personalized and participative radiation oncology P Lambin, J Zindler, BGL Vanneste, L Van De Voorde, D Eekers, ... Advanced drug delivery reviews 109, 131-153, 2017 | 90 | 2017 |
| Infrastructure and distributed learning methodology for privacy-preserving multi-centric rapid learning health care: euroCAT TM Deist, A Jochems, J van Soest, G Nalbantov, C Oberije, S Walsh, ... Clinical and translational radiation oncology 4, 24-31, 2017 | 81 | 2017 |
| Developing and validating a survival prediction model for NSCLC patients through distributed learning across 3 countries A Jochems, TM Deist, I El Naqa, M Kessler, C Mayo, J Reeves, S Jolly, ... International Journal of Radiation Oncology* Biology* Physics 99 (2), 344-352, 2017 | 59 | 2017 |
| Nomogram predicting response after chemoradiotherapy in rectal cancer using sequential PETCT imaging: a multicentric prospective study with external validation RGPM van Stiphout, V Valentini, J Buijsen, G Lammering, E Meldolesi, ... Radiotherapy and Oncology 113 (2), 215-222, 2014 | 54 | 2014 |
| Development and evaluation of an online three-level proton vs photon decision support prototype for head and neck cancer–Comparison of dose, toxicity and cost-effectiveness Q Cheng, E Roelofs, BLT Ramaekers, D Eekers, J van Soest, T Lustberg, ... Radiotherapy and Oncology 118 (2), 281-285, 2016 | 49 | 2016 |
| Fractal-based radiomic approach to predict complete pathological response after chemo-radiotherapy in rectal cancer D Cusumano, N Dinapoli, L Boldrini, G Chiloiro, R Gatta, C Masciocchi, ... La radiologia medica 123 (4), 286-295, 2018 | 44 | 2018 |
| Magnetic resonance, vendor-independent, intensity histogram analysis predicting pathologic complete response after radiochemotherapy of rectal cancer N Dinapoli, B Barbaro, R Gatta, G Chiloiro, C Casà, C Masciocchi, ... International Journal of Radiation Oncology* Biology* Physics 102 (4), 765-774, 2018 | 38 | 2018 |
| Standardized data collection to build prediction models in oncology: a prototype for rectal cancer E Meldolesi, J Van Soest, A Damiani, A Dekker, AR Alitto, M Campitelli, ... Future Oncology 12 (1), 119-136, 2016 | 36 | 2016 |
| An umbrella protocol for standardized data collection (SDC) in rectal cancer: a prospective uniform naming and procedure convention to support personalized medicine E Meldolesi, J van Soest, N Dinapoli, A Dekker, A Damiani, ... Radiotherapy and Oncology 112 (1), 59-62, 2014 | 36 | 2014 |
| The radiation oncology ontology (ROO): Publishing linked data in radiation oncology using semantic web and ontology techniques A Traverso, J Van Soest, L Wee, A Dekker Medical physics 45 (10), e854-e862, 2018 | 29 | 2018 |
| Big Data in radiation therapy: challenges and opportunities T Lustberg, J van Soest, A Jochems, T Deist, Y van Wijk, S Walsh, ... The British journal of radiology 90 (1069), 20160689, 2017 | 25 | 2017 |
| Distributed learning to protect privacy in multi-centric clinical studies A Damiani, M Vallati, R Gatta, N Dinapoli, A Jochems, T Deist, ... Conference on artificial intelligence in medicine in europe, 65-75, 2015 | 19 | 2015 |
| VATE: VAlidation of high TEchnology based on large database analysis by learning machine E Meldolesi, J van Soest, AR Alitto, R Autorino, N Dinapoli, A Dekker, ... Colorectal Cancer 3 (5), 435-450, 2014 | 19 | 2014 |
| Validation of a rectal cancer outcome prediction model with a cohort of Chinese patients L Shen, J van Soest, J Wang, J Yu, W Hu, YUT Gong, V Valentini, Y Xiao, ... Oncotarget 6 (35), 38327, 2015 | 14 | 2015 |
| Towards a modular decision support system for radiomics: A case study on rectal cancer R Gatta, M Vallati, N Dinapoli, C Masciocchi, J Lenkowicz, D Cusumano, ... Artificial intelligence in medicine 96, 145-153, 2019 | 13 | 2019 |
| Distributed learning on 20 000+ lung cancer patients–The Personal Health Train TM Deist, FJWM Dankers, P Ojha, MS Marshall, T Janssen, C Faivre-Finn, ... Radiotherapy and Oncology 144, 189-200, 2020 | 12 | 2020 |
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+Email verificata su maastro.nl
